Blockchains and Enterprise Modeling: Opportunities and ChallengesHans-Georg Fill, University of Fribourg, Switzerland

Overcoming the Drawbacks of Traditional Process Management Software

Manfred ReichertUlm UniversityGermany

Brief BioManfred is Professor of Computer Science and Director of the Databases and Information Systems Institute at Ulm University, Germany. His research spans across the fields of digital services, information systems, business process management, and process flexibility. Moreover, he has been engaged in many projects related to healthcare, logistics, automotive engineering, and Industry 4.0. Currently, he collaborates with several large companies, including Daimler,BMWUhlmann Pac Systems, and adesso. Manfred was PC co-chair of the BPM’08, CoopIS’11, and EDOC’13 conferences, and general chair of the BPM’09 and EDOC’14 conferences as well as the BPM’15 workshops. He received several best paper wards (e.g. OTM’05, EDOC’08, AIMS‘17) as well as the BPM Test of Time Award at the BPM’13 conference. Finally, he is co-founder of the AristaFlow Ltd. and co-author of a Springer book on process flexibility.

AbstractThe increasing importance of data for process-aware software systems has led to the emergence of data-centric process support paradigms, e.g., artifact-centric, object-aware, and data-driven approaches. By tightly integrating process and data, corresponding approaches differ significantly from the widely used traditional (i.e. activity-centric) process paradigm, aiming at the support of data-intensive business processes and offering increased ﬂexibility. In particular, the progress of a data-centric process depends on the availability of data rather than on the completion of activities. Moreover, the focus has shifted from large, monolithic processes towards rather small processes (e.g., object lifecyces), which need to collaborate in order to reach a common business goal. The keynote speech will provide profound insights into fundamental concepts, features and tools of data-centric approaches to BPM. Moreover, it will discuss how this process support paradigm opens up new prospects with respect to the engineering, automation, and monitoring of business processes in the era of digitization and Industry 4.0.

Is There Anything That Isn’t Software?

Michael G. HincheyLero, University of LimerickIreland

Brief BioProfessor Mike Hinchey is Chair of IEEE UK & Ireland Section for 2018-2019. He is President of IFIP, the International Federation for Information Processing (www.ifip.org) and is Emeritus Director of Lero-the Irish Software Research Centre and Professor of Software Engineering at University of Limerick, Ireland. Prior to joining Lero, Professor Hinchey was the Director of the NASA Software Engineering Laboratory. In 2009, he was awarded NASA’s Kerley Award as Innovator of the Year and is recognized in the NASA Inventors Hall of Fame. Professor Hinchey holds a B.Sc. in Computer Systems from University of Limerick, an M.Sc. in Computation from University of Oxford and a PhD in Computer Science from University of Cambridge. Professor Hinchey is a Chartered Engineer, Chartered Engineering Professional, Chartered Mathematician and Charted Information Technology Professional, as well as a Fellow of the IET, British Computer Society and Irish Computer Society, of which he was recently elected President. He is Editor-in-Chief of Innovations in Systems and Software Engineering: a NASA Journal and Journal of the Brazilian Computer Society. In January 2018, he became an Honorary Fellow of the Computer Society of India.

AbstractIn this rapidly changing world, evolving technologies such as Artificial Intelligence, Robotics, Machine Learning, Cloud Computing, Big Data, the Internet of Things, and Mobile Computing are combining to disrupt traditional models and radically change how we live, work, and interact. More importantly, these technologies change the way we live and do business: the world’s largest bookstore is a Cloud Computing provider, and the largest fleet of cars in the world is operated by an app provider. Areas such as healthcare have been transformed dramatically, with better analysis, imaging, detection, diagnosis, treatment, robot-assisted surgery, and even significant advances in sharing health records. We eagerly await the day when cars, buses, trucks, and railways are self-driven, and Industry 4.0 is already upon us. All of these advances are entirely dependent on software. We ask the question: is there anything that isn’t software?

Blockchains and Enterprise Modeling: Opportunities and Challenges

Hans-Georg FillUniversity of FribourgSwitzerland

Brief BioHans-Georg Fill is full professor at the University of Fribourg, Switzerland and Head of the Research Group Digitalization and Information Systems. Before, he held temporary full professor positions at the University of Bamberg, Germany and the University of Vienna, Austria. He holds a PhD and a habilitation from the University of Vienna in business informatics. He was a visiting researcher at Stanford University, Karlsruhe Institute of Technology, and Ecole Nationale Supérieure des Mines at St. Etienne, France. His research activities focus on the development of IT-based modelling tools, distributed ledger technologies, visualization, and the alignment of conceptual modelling and semantic technologies. He is associate editor for Business and Information Systems Engineering as well as Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modelling, chaired several conferences as general chair and served on numerous program committees.

AbstractBlockchains and more generally Distributed Ledger Technologies have recently gained much attention due to their successful use for cryptocurrencies. After an initial hype, it is now being investigated how these approaches can be productively applied in concrete business use cases. In this talk I will take the perspective of enterprise modeling, which aims for the structured design and analysis of business and IT solutions as well as their alignment. In addition, enterprise models are today regarded as a means for sharing and processing knowledge. It will be highlighted which opportunities and challenges arise when combining enterprise modeling with the domain of blockchains. This will be illustrated with recent findings from the domains of knowledge management, business process management, and ontologies.